ObjectiveQi deficiency and phlegm dampness syndrome is a common type of clinical traditional Chinese medicine（TCM） syndrome. However， there is no standard， scientific， and accurate report on the construction of animal models of Qi deficiency and phlegm dampness syndrome. This study aims to construct a mouse model of Qi deficiency and phlegm dampness syndrome by using a multi-factor composite modeling method and to evaluate the model. MethodsTwenty-one C57BL/6 mice were randomly divided into three groups with seven mice in each group， which were the normal group， model group， and Shenling Baizhusan （SLBZ） group. The control group was fed with ordinary diet and kept in a normal environment. The model group and SLBZ group were fed with a high-fat diet in a high-humidity environment. Swimming with heavy weights until exhaustion and gavage with cold water or lard were used to establish the mouse model of Qi deficiency and phlegm dampness syndrome. In order to test the syndrome by prescription， mice in the SLBZ group were treated with SLBZ for 14 days after model construction. The exhaustive swimming time， body weight， serum lipid levels， tongue changes， "Qi deficiency and phlegm dampness" assessment scale score， and cecal index of mice in each group were measured. The feces of each group of mice were sent for metagenomics and metabolome sequencing， and the changes in intestinal flora and metabolites were analyzed. ResultsAfter the modeling of Qi deficiency and phlegm dampness syndrome， the exhaustive swimming time of mice was obviously shortened （P<0.01）. The serum total cholesterol， low density lipoprotein cholesterol， and non-high density lipoprotein cholesterol of mice were significantly increased （all P<0.01）. The tongue of mice was significantly different from that of the normal group， and the score of the assessment scale was significantly higher than that of the control group （P<0.01）. Cecal index decreased significantly （P<0.01）. The serum lipid level， tongue image， assessment scale score， and cecal index were reversed in the SLBZ group. Metagenomic and metabolome sequencing results showed that intestinal flora and fecal metabolites were significantly changed in mice with Qi deficiency and phlegm dampness syndrome. Akkermansia_muciniphila， Faecalibaculum_rodentium， Eubacterium_plexicaudatum， Eubacterium sp 14_2， Candida glabrata， Romboutsia_ilealis， Turicibacter sp TS3， and other bacteria had significant changes， and the expressions of intestinal metabolites such as chenodeoxycholic acid， choline， L-phenylalanine betaine， and 2-phenylbutyric acid were significantly changed. Related metabolic pathways such as linoleic acid metabolism， primary bile acid biosynthesis， lysine degradation， arginine biosynthesis， and alpha-linolenic acid metabolism were affected. ConclusionThe Qi deficiency and phlegm dampness model of mice can be constructed by the multi-factor composite modeling method of high-fat diet feeding， high-humidity environment feeding， exhaustive swimming with heavy weight， and intragastric administration with cold water or lard. The blood lipid level， tongue change， score of "Qi deficiency and phlegm dampness assessment scale"， cecal index， and changes in related intestinal flora and metabolites of mice can be used as key indicators for model evaluation.

ObjectiveTo investigate whether Huanglian Jiedutang （HLJD） and its major active constituents （geniposide， baicalin， and berberine） can inhibit the inflammatory response of BV2 cells under lipopolysaccharide （LPS） stimulation via the high-mobility group protein B1 （HMGB1）/Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB） signaling pathway， and to explore differences in therapeutic efficacy among the three monomers， their combined formula， and HLJD under equal content ratios. MethodsBV2 microglial cells were used as the primary experimental model. Cell viability was assessed using the cell counting kit-8 （CCK-8） method to examine the effects of different concentrations of dimethyl sulfoxide （DMSO， 0.8%， 0.4%， 0.2%， 0.1%， and 0.05%） on cell viability. IncuCyte was employed to monitor the growth of cells under different concentrations of HLJD （200， 100， 50， 25， 12.5， 6.25 mg·L^-1）. Nitric oxide （NO） assay was used to screen the optimal HLJD concentration. High-performance liquid chromatography （HPLC） determined the content of geniposide， baicalin， and berberine in HLJD， and experimental groups were subsequently established according to the relative proportions of these constituents. CCK-8 assay evaluated cell viability under different treatments. Enzyme-linked immunosorbent assay （ELISA） measured levels of inflammatory factors （TNF-α， IL-1β， IL-6， IL-10） in the supernatant. Flow cytometry assessed the effects of treatments on M1-type polarization of BV2 cells. Western blot determined the expression levels of HMGB1， TLR4， and NF-κB-related proteins. ResultsCompared with the blank group， DMSO at concentrations ≤0.2% did not affect cell viability within 48 h. BV2 cell growth plateaued at 24 h after treatment with 200 mg·L^-1 HLJD. Under stimulation with 2 mg·L^-1 LPS， this concentration of HLJD effectively reduced NO release， and 6 h pre-treatment had a stronger inhibitory effect on NO than direct administration. HPLC results showed that 1 mg of HLJD freeze-dried powder contained approximately 24 μg of geniposide， 15 μg of baicalin， and 30 μg of berberine. Based on these ratios， experimental groups were blank， LPS （2 mg·L^-1）， HLJD （200 mg·L^-1）， monomer combination， geniposide （4.8 mg·L^-1）， baicalin （3 mg·L^-1）， and berberine （6 mg·L^-1）. The monomer combination group consisted of all three active constituents dissolved together. LPS and HLJD or its active constituents did not affect cell viability compared with the blank group. LPS significantly increased TNF-α， IL-1β， IL-6， and IL-10 in the supernatant （P<0.01）. HLJD and its active constituents significantly reduced pro-inflammatory factors TNF-α， IL-1β， and IL-6 （P<0.05， P<0.01） while upregulating anti-inflammatory IL-10 （P<0.01）， with the monomer combination showing the strongest effect （P<0.05， P<0.01）. Compared with the blank group， LPS significantly increased the proportion of CD80⁺CD86⁺ （M1-type） BV2 cells （P<0.01）. HLJD and its constituents partially inhibited M1 polarization （P<0.05， P<0.01）， with the monomer combination exhibiting the most pronounced effect （P<0.05， P<0.01）. Compared with the blank group， LPS upregulated HMGB1， TLR4， and NF-κB-related proteins （P<0.01）， whereas HLJD and its active constituents significantly reduced their expression （P<0.05， P<0.01）， with the monomer combination having the strongest regulatory effect （P<0.05， P<0.01）. ConclusionHLJD and its major active constituents （geniposide， baicalin， berberine） can inhibit LPS-induced inflammatory responses in BV2 cells. The combination of the three active constituents demonstrates the most potent anti-inflammatory effect， significantly attenuating M1-type polarization of BV2 cells via the HMGB1/TLR4/NF-κB signaling pathway.

Objective To establish the therapeutic effect prediction model of platelet transfusion in hematological patients,and receiver operating characteristic(ROC)curve and clinical cases are used to evaluate the clinical application value of the predic-tion model.Methods A total of 485 patients with hematological diseases who received platelet transfusion therapy in Kailuan General Hospital from January 2020 to December 2023 were selected,corrected count increment(CCI)was used to divide the patients into platelet transfusion effective group(n=340)and transfusion ineffective group(n=145).Multivariate Logistic regres-sion analysis was used to establish the prediction model of platelet infusion efficacy,and ROC curve was used to evaluate the application effect of the forcasting model.109 clinical cases were used to verify the practical application effect of the model,and the sensitivity,specificity and accuracy were calculated.Results Among 485 patients with hematological diseases,the incidence of ineffective platelet transfusion was 29.90%(145/485).Compated with the effective group,the ineffective group had more previous platelet transfusions was higher,and the difference was statistically significant(t=-4.435,P<0.05).In the ineffective group,there were more cases of hyperplenism,aplastic anemia and lymphoma,higher infection rate and higher positive rate of platelet antibody,and the differences were statistically significant(χ2=6.301～37.522,all P<0.05).Multivariate Logistic regres-sion analysis found that previous platelet infusion times,infection,leukemia,aplastic anemia and platelet antibodies were risk factors for ineffective platelet transfusion in patients with hematological diseases(Wald χ2=5.224～21.548,all P<0.05).Based on these risk factors,platelet infusion effect prediction models 1 and 2 were constructed.ROC curve was used to evaluate the application effect of the prediction model.The area under the curve(AUC),cut-offpoint,sensitivity and specificity of model 1 were 0.884,0.042,82.35%,88.89%.The AUC,cut-offpoint,corresponding sensitivity and specificity of prediction model 2 were 0.910,59.784,81.18%,94.44%,respectively.The Z values of model 1 and model 2 were 12.159 and 13.151,respectively.The prediction effect of model 2 was better than that of model 1.The actual application results showed that the sensitivity,specificity and accuracy of prediction model 1,2 were 85.71%,92.05%,90.89%and 90.48%,93.18%,92.66%,respectively.Conclusion The ineffective rate of platelet transfusion in hematological patients is relatively high.The prediction models 1 and 2 for platelet transfusion effectiveness have good results in predicting ineffective platelet transfusion,and prediction model 2 is better than pre-diction model 1,which can provide reliable basis for hematological patients on accurate platelet transfusion.

The aim of this study was to understand the internal genetic diversity and population history dynamics of ticks in Inner Mongolia,to provide data for designing effective vector control programs and revealing ticks'transmission mechanisms.From 2022 to 2023,the manual collection method was used to collect samples in Inner Mongolia.The 16S rDNA and COI gene sequences of ticks were used to identify Hyalomma marginatum,Haemaphysalis concinna,and Argas persicus,and analyze the sequence characteristics and genetic diversity within the populations.Base composition analysis indicated that the average A+T content of the 16S rDNA gene and CO I gene in the three ticks was significantly higher than that of C+G.Moreover,22 haplotypes of the COI gene and 12 haplotypes of the 16S rDNA sequence were identified in Hyalomma marginatum.Eleven haplotypes were identified according to the COI gene,and nine haplotypes were identified according to the16S rDNA sequence of Haemaphysalis concinna.Two haplotypes were identified on the basis of the COI gene,and six haplotypes were identified on the basis of the 16S rDNA sequence of Ar gas persicus.The minimum 16S rDNA haplotype diversity was 0.264 for Ar gas persicus and 0.579 for the other two species.The nucleotide diversity of the three tick species was less than 0.05.Tajima's val-ue and Fu's Fs value of the neutrality test were negative.Base saturation substitution analysis indicated that neither of the two genes in the three tick species reached saturation.The phylogenetic tree revealed that Hyalomma marginatum,Haema physalis concinna,and Ar gas persicus in Inner Mongolia independently aggregated into branches.In conclusion,the base content of Hyalomma marginatum,Haemaphysalis concinna,and Argas persicus genes in Inner Mongolia was consist-ent with the characteristics of insect mitochondrial DNA content.Furthermore,the three tick populations showed rapid evolu-tionary population expansion,and the phylogeny of three tick species showed independent aggregation into clades,with no pop-ulation isolation.

Objective To investigate the effect and mechanism of actin gamma1(ACTG1)downregulation on apoptosis in gastric cancer cells line HGC-27.Methods Stable ACTG1 knockdown HGC-27 cell line was constructed by CRISPR/Cas9,ACTG1 knockdown was verified by DNA sequencing and Western blot,apoptosis rate was detected by flow cytometry,Western blot detected the expression level of apoptosis-related proteins Bcl2-associated X protein(Bax),B cell lymphoma 2 family protein(Bcl2)and PI3K/AKT signal pathway-related proteins AKT and p-AKT.Results HGC-27 cell lines with stable knockdown of ACTG1 were constructed,and the ACTG1 protein levels were decreased in the sgACTG1-1 and sgACTG1-2 groups compared with the Control group.Compared with the apoptosis rate in the Control group(6.54%±0.67%),cell apoptosis rate in the sgACTG1-1 and sgACTG1-2 groups(10.11%±0.46%,14.67%±0.17%)were significantly increased,the differences were statistically significant(t=-7.58,-20.28,all P<0.01).Compared the Control group,the Bax protein levels in the sgACTG1-1 and sgACTG1-2 groups(0.89±0.02,1.00±0.08 vs 0.71±0.03)were significantly increased(t=-8.14,-5.87),the level of Bcl2 protein(0.49±0.06,0.39±0.06 vs 0.65±0.07)were significantly decreased(t=3.09,5.35),the differences were statistically significant(all P<0.05).Compared with the Control group,the AKT protein levels in the sgACTG1-1 and sgACTG1-2 groups(0.95±0.10,0.43±0.09 vs 1.17±0.06)and the P-AKT protein level(0.38±0.08,0.28±0.12 vs 0.70±0.14)were significantly decreased,the differences were statistically significant(t=3.20,12.13;3.44,3.85,all P<0.05).Conclusion Downregulation of ACTG1 inhibits the expression of PI3K/Akt signaling pathway related proteins AKT,p-AKT and promotes gastric cancer cells line HGC-27 apoptosis.

Objective To establish a mouse model of traumatic brain injury(TBI),to investigate the effects of visual cortex injury on neurobiology and cognitive function of the visual cortex.Methods Stereotaxic-guided graded cortical impacts(impact velocity was 1-4m/s)were administered to the primary visual cortex(V1)-associated skull surface in C57BL/6mice(8-week-old)with intact dura mater.Two weeks after the impact,the changes of neuronal numbers were analyzed by immunofluorescence staining and confocal mi-croscope imaging.Similar and 2-hour novel object recognition tests were used to evaluate the model visual function of mice.Open field tests and 24-hour novel object identification tests were used to assess the model non-visual abilities of mice,such as mobility,anxiety,and cognition.Results The number of superficial neurons in the mice's V1dropped by roughly 10％(P＜0.01)with an impact velocity of 4m/s,which was similar to what happens in individuals with mild brain injury.The recognition index(RI)of the TBI model mice was found to be significantly lower than that of the control group in the similar object recognition test(0.51±0.06 vs 0.58±0.05,P＜0.05).However,in the 2-hour novel object recognition test,no statistically significant difference in RI was detected between the TBI model mice and the control group(P＞0.05).Furthermore,the open field test indicated no significant disparities in locomotion speed or the time spent in the central area between the TBI model mice and the control group(P＞0.05).Similarly,the 24-hour novel object recognition test revealed no significant difference in RI between the TBI model mice and the control group(P＞0.05).Conclusion A mouse model simulating superficial injury to V1 was created through a controlled physical impact,characterized by a velocity of4m/s,a penetration depth of 0.5mm,and a dwell time of 0.5seconds.The visual capabilities of the model mice exhibited mild impairment,where-as their motor and cognitive functions remained intact.This model offers a novel research tool for exploring the mechanisms underlying the recovery of visual deficits following TBI.

Objective To observe the value of intratumoral and peritumoral CT radiomics for predicting Ki-67 expression level of lung adenocarcinoma with mixed ground glass nodules.Methods Totally 284 cases of pathologically confirmed lung adenocarcinoma with mixed ground glass nodules were retrospectively enrolled,among them 197 cases were taken as training set(54 cases with high and 143 cases with low Ki-67 expression)and 87 cases as validation set(27 cases with high and 60 cases with low Ki-67 expression).Intratumoral and peritumoral radiomic features were obtained from non-contrast chest CT,and radiomic models for predicting Ki-67 expression in lung adenocarcinoma with mixed ground glass nodules were established using adaptive boosting,light gradient boosting machine(LightGBM)and multilayer perceptron algorithms based on intratumoral features,peritumoral features,as well as intratumoral+peritumoral features,respectively,and the optimal radiomics signature was selected according to the area under the receiver operating characteristic curve(AUC).Univariate and multivariate logistic regression analysis were performed to identify independent impact factors of Ki-67 expression level,and a clinical model was constructed,and the efficacy of the models were evaluated.Results Among radiomics models,LightGBMintratumoral+peritumoral model had the highest AUC(0.934 in training set and 0.845 in validation set),which were superior to that of clinical model(0.616 in training set and 0.684 in validation set)(both P＜0.05)Conclusion Intratumoral and peritumoral CT radiomics had good efficacy for predicting Ki-67 expression level of lung adenocarcinoma with mixed ground glass nodules.

Objective To establish a mouse model of traumatic brain injury(TBI),to investigate the effects of visual cortex injury on neurobiology and cognitive function of the visual cortex.Methods Stereotaxic-guided graded cortical impacts(impact velocity was 1-4m/s)were administered to the primary visual cortex(V1)-associated skull surface in C57BL/6mice(8-week-old)with intact dura mater.Two weeks after the impact,the changes of neuronal numbers were analyzed by immunofluorescence staining and confocal mi-croscope imaging.Similar and 2-hour novel object recognition tests were used to evaluate the model visual function of mice.Open field tests and 24-hour novel object identification tests were used to assess the model non-visual abilities of mice,such as mobility,anxiety,and cognition.Results The number of superficial neurons in the mice's V1dropped by roughly 10％(P＜0.01)with an impact velocity of 4m/s,which was similar to what happens in individuals with mild brain injury.The recognition index(RI)of the TBI model mice was found to be significantly lower than that of the control group in the similar object recognition test(0.51±0.06 vs 0.58±0.05,P＜0.05).However,in the 2-hour novel object recognition test,no statistically significant difference in RI was detected between the TBI model mice and the control group(P＞0.05).Furthermore,the open field test indicated no significant disparities in locomotion speed or the time spent in the central area between the TBI model mice and the control group(P＞0.05).Similarly,the 24-hour novel object recognition test revealed no significant difference in RI between the TBI model mice and the control group(P＞0.05).Conclusion A mouse model simulating superficial injury to V1 was created through a controlled physical impact,characterized by a velocity of4m/s,a penetration depth of 0.5mm,and a dwell time of 0.5seconds.The visual capabilities of the model mice exhibited mild impairment,where-as their motor and cognitive functions remained intact.This model offers a novel research tool for exploring the mechanisms underlying the recovery of visual deficits following TBI.

Objective: To investigate the self-monitoring blood pressure behavior and its influencing factors among residents in Jiangsu Province, so as to provide the basis for strengthening proactive blood pressure monitoring among residents. Methods: Permanent residents aged 35-75 years in six counties (cities, districts), Jiangsu Province, were selected using the stratified cluster sampling method in 2023. Data on basic information, disease history, and self-monitoring blood pressure behavior were collected, height and weight were measured to calculate the body mass index (BMI); and blood glucose and lipid levels were measured. Self-monitoring blood pressure behavior was defined as having measured blood pressure at least once in the past three months. Factors affecting self-monitoring blood pressure behavior were identified using a multivariable logistic regression model. Results: A total of 12 475 residents were surveyed, including 5 748 males and 6 727 females, with a male-to-female ratio of 1∶1.17. There were 3 855 residents aged 45-<55 years (30.90%) and 5 511 residents who had self-monitoring blood pressure behaviors (44.18%). Multivariable logistic regression analysis showed that the residents who were males (OR=1.167, 95%CI: 1.081-1.261), lived in rural areas (OR=1.430, 95%CI: 1.321-1.547), aged 45-75 years (45-<55 years, OR=1.384, 95%CI: 1.241-1.543; 55-<65 years, OR=1.397, 95%CI: 1.243-1.570; 65-75 years, OR=1.196, 95%CI: 1.049-1.363), had an annual household income ≥30 000 yuan (30 000-<60 000 yuan, OR=1.190, 95%CI: 1.072-1.321; 60 000-<110 000 yuan, OR=1.330, 95%CI: 1.191-1.485; ≥110 000 yuan, OR=1.746, 95%CI: 1.536-1.984), were overweight (OR=1.170, 95%CI: 1.070-1.280) or obese (OR=1.248, 95%CI: 1.120-1.391), were unaware (OR=1.221, 95%CI: 1.103-1.353) or aware (OR=3.937, 95%CI: 3.575-4.335) of having hypertension, were aware of having diabetes (OR=1.538, 95%CI: 1.354-1.749), and aware of having dyslipidemia (OR=1.265, 95%CI: 1.106-1.447) were more likely to have self-monitoring blood pressure behaviors. Conclusions Among the residents aged 35-75 years in Jiangsu Province, 44.18% had self-monitoring blood pressure behavior. Gender, place of residence, age, annual household income, BMI, hypertension, diabetes, and dyslipidemia were identified as influencing factors for self-monitoring blood pressure behavior.

Objective:It aims to systematically evaluate the current status of knowledge,attitude,and practice(KAP)regarding universal commercial medical insurance among residents of the sample province from the demand-side perspective.Methods:Utilizing a quota sampling method,face-to-face surveys were conducted via the Questionnaire Star platform to collect demographic characteristics and KAP data of the participants.Comparisons of differences among different groups were made using t-tests,analysis of variance,and chi-square tests.Furthermore,multiple linear regression and structural equation modeling were utilized to analyze the influencing factors of KAP,as well as the pathways among these three factors.Results:Out of the 415 valid questionnaires collected,there were notable differences in KAP among respondents with diverse demographic backgrounds.Regression analysis revealed that education level,frequency of health check-ups,and engagement in other commercial health insurances significantly influenced knowledge;education level,involvement in other commercial health insurances,and self-assessed health status were pivotal in shaping attitudes;whereas age,education level,frequency of health check-ups,and participation in other commercial health insurances were critical in affecting practice.The path analysis results indicate that knowledge of universal commercial medical insurance has a significant direct association with attitude(β=0.379,P＜0.001)and practice(β=0.323,P＜0.001).It also influences practice through attitude as a mediator(β=0.016,P＜0.001),but the direct effect of attitude on practice is not significant(β=0.04,P=0.403).Conclusion:While residents in the sample province exhibit a positive attitude towards universal commercial medical insurance,there is a need to enhance their level of knowledge and engagement in practice.It is recommended to strengthen targeted educational and promotional measures to promote the healthy and sustainable development of universal insurance.